{"id":"W6905922024","doi":"10.15468/dl.t33yh3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001117999,0.002040704,0.001654495,0.005157286,0.001066192,0.002705171,0.003004574,0.002047167,0.1778239],"category_scores_gemma":[0.00636118,0.0009860017,0.001155413,0.01005027,0.0004666209,0.002430818,0.002676607,0.002133333,0.2384857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701326,"about_ca_system_score_gemma":0.002494464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324342,"about_ca_topic_score_gemma":0.0370241,"domain_scores_codex":[0.9988902,0.0001464759,0.000138752,0.0003849225,0.0002565339,0.0001831844],"domain_scores_gemma":[0.9973794,0.0007524575,0.0002469809,0.0006843831,0.0006328224,0.0003040612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002603749,0.00001000049,0.0003106635,0.0004689282,0.00001370377,0.00001347149,0.0000229859,0.0001089249,0.0001071683,0.0003867686,0.9972555,0.001275882],"study_design_scores_gemma":[0.00006437211,0.000006598188,0.001568784,0.0001703818,0.00001345525,0.00003388725,0.00006659956,0.000129593,0.0001834396,0.0007741678,0.9969712,0.00001747903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003374597,0.00002275812,0.00004889538,0.00003321129,0.00001124514,0.000004729759,0.9988005,0.0003948516,0.0006500573],"genre_scores_gemma":[0.0001432177,0.00002983025,0.0002001661,0.00004259348,0.000003087834,0.00004034501,0.9988936,0.0001817893,0.0004654494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8221761,"threshold_uncertainty_score":0.5948803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}